What are the best practices for concurrent programming in Python?

What are the best practices for concurrent programming in Python?

Some best practices include using the concurrent.futures module, avoiding shared state, and using thread-safe data structures.

Can you explain how the concurrent.futures module works?

Sure! The concurrent.futures module provides a high-level interface for asynchronously executing callables using threads or processes.

What are the differences between threading and multiprocessing in Python?

Threading is suitable for I/O-bound tasks, while multiprocessing is better for CPU-bound tasks due to Python's Global Interpreter Lock (GIL).

How can I avoid race conditions in my concurrent code?

You can avoid race conditions by using locks, semaphores, or other synchronization primitives to control access to shared resources.